THIRD-PARTY-NOTICES

NeMo Speech Third-Party Notices
================================

NeMo Speech includes or adapts the third-party materials listed below. The
listed paths identify the material in this source distribution. Copyright and
license notices retained in those files remain authoritative. SPDX identifiers
are used for license names where possible.

This inventory covers material distributed in the repository. Dependencies
obtained separately when building or running NeMo Speech are governed by the
licenses included with those dependencies.

Component: Daily / Pipecat client and transport code
Paths: examples/voice_agent/client/src/app.ts; nemo/agents/voice_agent/pipecat/
Copyright: Copyright (c) 2024–2025, Daily
License: BSD-2-Clause
Source: https://github.com/pipecat-ai/pipecat

Component: Triton lazy-initialization patch
Path: external/patches/triton-lang_triton_6570_lazy_init.patch
Copyright: Copyright (c) 2018-2022 Philippe Tillet, OpenAI
License: MIT
Source: https://github.com/triton-lang/triton/pull/6570

Component: dscore md-eval
Path: nemo/collections/asr/metrics/md_eval.py
Copyright: Copyright (c) 2017, Neville Ryant
License: BSD-2-Clause
Source: https://github.com/nryant/dscore

Component: warp-transducer RNN-T loss
Paths: nemo/collections/asr/losses/rnnt.py; nemo/collections/asr/parts/numba/rnnt_loss/
Copyright: Copyright 2018-2019, Mingkun Huang
License: Apache-2.0
Source: https://github.com/HawkAaron/warp-transducer

Component: ESPnet transducer and attention code
Paths: nemo/collections/asr/modules/hybrid_autoregressive_transducer.py;
  nemo/collections/asr/modules/rnnt.py; nemo/collections/asr/parts/submodules/multi_head_attention.py;
  nemo/collections/asr/parts/submodules/rnnt_beam_decoding.py;
  nemo/collections/asr/parts/submodules/rnnt_greedy_decoding.py;
  nemo/collections/asr/parts/submodules/tdt_beam_decoding.py; nemo/collections/asr/parts/utils/rnnt_utils.py;
  scripts/checkpoint_averaging/average_model_checkpoints.py
Copyright: Copyright 2017 Johns Hopkins University (Shinji Watanabe)
License: Apache-2.0
Source: https://github.com/espnet/espnet

Component: BERT / Transformers code
Path: nemo/collections/asr/modules/transformer/transformer_modules.py
Copyright: Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team
License: Apache-2.0
Source: https://github.com/huggingface/transformers

Component: fairseq wav2vec and Adafactor code
Paths: nemo/collections/asr/modules/wav2vec_modules.py; nemo/collections/asr/parts/submodules/ssl_quantizers.py;
  nemo/core/optim/adafactor.py
Copyright: Copyright (c) Facebook, Inc. and its affiliates
License: MIT
Source: https://github.com/facebookresearch/fairseq

Component: fairseq tokenizer from NVIDIA Deep Learning Examples
Path: nemo/collections/common/tokenizers/fairseq_tokenizer.py
Copyright: Copyright (c) 2017-present, Facebook, Inc.; Copyright (c) 2019-present, NVIDIA CORPORATION
License: BSD-3-Clause
Source: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Translation/Transformer

Component: Icefall context graphs
Paths: nemo/collections/asr/parts/context_biasing/context_graph_ctc.py;
  nemo/collections/asr/parts/context_biasing/context_graph_universal.py
Copyright: Copyright 2023 Xiaomi Corp. (author: Wei Kang)
License: Apache-2.0
Source: https://github.com/k2-fsa/icefall

Component: Patter speech preprocessing
Paths: nemo/collections/asr/parts/features.py; nemo/collections/asr/parts/preprocessing/features.py;
  nemo/collections/asr/parts/preprocessing/perturb.py; nemo/collections/asr/parts/preprocessing/segment.py;
  scripts/dataset_processing/process_fisher_data.py; scripts/dataset_processing/process_hub5_data.py
Copyright: Copyright (c) 2018 Ryan Leary
License: MIT
Source: https://github.com/ryanleary/patter

Component: scikit-learn clustering code
Paths: nemo/collections/asr/parts/utils/offline_clustering.py;
  nemo/collections/asr/parts/utils/online_clustering.py
Copyright: Copyright (c) 2007-2020 The scikit-learn developers
License: BSD-3-Clause
Source: https://github.com/scikit-learn/scikit-learn

Component: SciPy linear-sum-assignment implementation
Path: nemo/collections/asr/parts/utils/optimization_utils.py
Copyright: Copyright (c) 2008 Brian M. Clapper <bmc@clapper.org>, Gael Varoquaux
License: BSD-3-Clause
Source: https://github.com/scipy/scipy

Component: Conv-TasNet SI-SNR loss
Path: nemo/collections/audio/losses/maxine/sisnr_loss.py
Copyright: Copyright (c) 2018 Kaituo XU
License: MIT
Source: https://github.com/kaituoxu/Conv-TasNet

Component: denoising-diffusion-pytorch Transformer U-Net code
Path: nemo/collections/audio/parts/submodules/transformerunet.py
Copyright: Copyright (c) 2023 Phil Wang
License: MIT
Source: https://github.com/lucidrains/denoising-diffusion-pytorch

Component: torchaudio transforms
Paths: nemo/collections/audio/parts/utils/transforms.py;
  nemo/collections/asr/parts/submodules/spectr_augment.py
Copyright: Copyright (c) 2017 Facebook Inc. (Soumith Chintala)
License: BSD-2-Clause
Source: https://github.com/pytorch/audio

Component: AWS Labs masked-language-model scorer
Path: nemo/collections/common/parts/mlm_scorer.py
Copyright: Copyright 2020 AWSLABS, AMAZON
License: Apache-2.0

Component: Myrtle Software RNN code
Path: nemo/collections/common/parts/rnn.py
Copyright: Copyright (c) 2019, Myrtle Software Limited. All rights reserved
License: Apache-2.0

Component: nlputils Chinese detokenizer
Path: nemo/collections/common/tokenizers/chinese_tokenizers.py
Copyright: Copyright (c) 2016 The-Orizon
License: MIT
Source: https://github.com/The-Orizon/nlputils

Component: Hugging Face Transformers utilities
Paths: nemo/collections/common/tokenizers/megatron_utils.py;
  nemo/collections/tts/modules/audio_codec_modules.py
Copyright: Copyright 2018-present The Hugging Face team
License: Apache-2.0
Source: https://github.com/huggingface/transformers

Component: Google Research sequence metrics
Paths: nemo/collections/tts/metrics/__init__.py; nemo/collections/tts/metrics/score_metrics.py
Copyright: Copyright 2019 The Google Research Authors
License: Apache-2.0
Source: https://github.com/google-research/google-research

Component: EnCodec
Path: nemo/collections/tts/modules/encodec_modules.py
Copyright: Copyright (c) Meta Platforms, Inc. and affiliates
License: MIT
Source: https://github.com/facebookresearch/encodec

Component: Meta distributed helpers
Path: nemo/collections/tts/parts/utils/distributed.py
Copyright: Copyright (c) Meta Platforms, Inc. and affiliates
License: MIT

Component: HiFi-GAN
Paths: nemo/collections/tts/losses/hifigan_losses.py; nemo/collections/tts/modules/hifigan_modules.py
Copyright: Copyright (c) 2020 Jungil Kong
License: MIT
Source: https://github.com/jik876/hifi-gan

Component: ParallelWaveGAN STFT losses
Path: nemo/collections/tts/losses/stftlosses.py
Copyright: Copyright (c) 2019 Tomoki Hayashi
License: MIT
Source: https://github.com/kan-bayashi/ParallelWaveGAN

Component: FastPitch utilities
Paths: nemo/collections/tts/losses/fastpitchloss.py; nemo/collections/tts/modules/fastpitch.py;
  nemo/collections/tts/parts/utils/helpers.py; nemo/collections/tts/parts/utils/tts_dataset_utils.py
Copyright: Copyright (c) 2021, NVIDIA Corporation
License: BSD-3-Clause
Source: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch

Component: Google model save/restore connector code
Paths: nemo/core/connectors/__init__.py; nemo/core/connectors/save_restore_connector.py
Copyright: Copyright 2015 and onwards Google, Inc
License: Apache-2.0

Component: Adan optimizer
Path: nemo/core/optim/adan.py
Copyright: Copyright 2022 Garena Online Private Limited
License: Apache-2.0
Source: https://github.com/sail-sg/Adan

Component: RAdam optimizer
Path: nemo/core/optim/radam.py
Copyright: Copyright 2019 Liyuan Liu
License: Apache-2.0
Source: https://github.com/LiyuanLucasLiu/RAdam

Component: python-env-utils
Path: nemo/utils/env_var_parsing.py
Copyright: Copyright (c) 2016 YunoJuno Ltd
License: MIT
Source: https://github.com/yunojuno/python-env-utils

Component: colorama ANSI helpers
Path: nemo/utils/formatters/colors.py
Copyright: Copyright Jonathan Hartley 2013
License: BSD-3-Clause
Source: https://github.com/tartley/colorama

Component: cuML safe-import utilities
Path: nemo/utils/import_utils.py
Copyright: Copyright (c) 2019-2025, NVIDIA CORPORATION & AFFILIATES
License: Apache-2.0
Source: https://github.com/rapidsai/cuml

Component: Kaldi phone-language-model script
Path: scripts/asr_language_modeling/ngram_lm/make_phone_lm.py
Copyright: Copyright (c) 2016, Johns Hopkins University (author: Daniel Povey)
License: Apache-2.0
Source: https://github.com/kaldi-asr/kaldi

Component: syllabify
Path: scripts/dataset_processing/g2p/syllabify.py
Copyright: Copyright (c) 2012-2013 Kyle Gorman <gormanky@ohsu.edu>
License: MIT
Source: https://github.com/kylebgorman/syllabify

Component: Common Voice data preparation script
Path: scripts/dataset_processing/get_commonvoice_data.py
Copyright: Copyright (c) 2020, SeanNaren. All rights reserved
License: Apache-2.0

Component: CMU Pronouncing Dictionary
Paths: scripts/tts_dataset_files/cmudict-0.7b_nv22.10;
  scripts/tts_dataset_files/ipa_cmudict-0.7b_nv26.07.txt
Copyright: Copyright (c) 1993-2015 Carnegie Mellon University. All rights reserved
License: BSD-2-Clause
Source: https://github.com/cmusphinx/cmudict

Component: Wikipedia Homograph Data entries
Path: scripts/tts_dataset_files/ipa_cmudict-0.7b_nv26.07.txt
Copyright: No separate copyright notice is stated upstream; authors are Kyle Gorman, Vitaly Nikolaev, and
  Gleb Mazovetskiy, with contributions from the dataset annotators
License: Apache-2.0
Source: https://github.com/google-research-datasets/WikipediaHomographData

Component: PyTorch Lightning test utilities
Paths: tests/collections/common/loss_inputs.py; tests/collections/common/perplexity_inputs.py;
  tests/collections/common/pl_utils.py
Copyright: Copyright 2018-2020 William Falcon
License: Apache-2.0
Source: https://github.com/Lightning-AI/pytorch-lightning

Component: minGPT notebook material
Path: tutorials/01_NeMo_Models.ipynb
Copyright: Copyright (c) 2020 Andrej Karpathy
License: MIT
Source: https://github.com/karpathy/minGPT

Component: torch-rnn tiny-shakespeare material
Path: tutorials/01_NeMo_Models.ipynb
Copyright: Copyright (c) 2016 Justin Johnson
License: MIT
Source: https://github.com/jcjohnson/torch-rnn

Component: CTC segmentation utilities
Path: tools/ctc_segmentation/scripts/utils.py
Copyright: Copyright 2020, Technische Universität München; Dominik Winkelbauer; Ludwig Kürzinger
License: Apache-2.0
Source: https://github.com/lumaku/ctc-segmentation

Component: VoxCeleb trainer speaker encoder
Path: nemo/collections/tts/modules/audio_codec_modules.py
Copyright: Copyright (c) 2020-present NAVER Corp
License: MIT
Source: https://github.com/clovaai/voxceleb_trainer

Component: torchvision code used by VoxCeleb trainer
Path: nemo/collections/tts/modules/audio_codec_modules.py
Copyright: Copyright (c) 2016 Soumith Chintala. All rights reserved
License: BSD-3-Clause
Source: https://github.com/pytorch/vision

Component: OpenAI guided-diffusion utilities
Path: nemo/collections/speechlm2/modules/ear_tts_vae_codec.py
Copyright: Copyright (c) 2021 OpenAI
License: MIT
Source: https://github.com/openai/guided-diffusion

Component: Vocos ConvNeXt code
Path: nemo/collections/speechlm2/modules/ear_tts_vae_codec.py
Copyright: Copyright (c) 2023 Charactr Inc
License: MIT
Source: https://github.com/charactr-platform/vocos

Component: VoiceBench MCQ evaluator
Path: nemo/collections/speechlm2/parts/metrics/mcq_evaluator.py
Copyright: No separate copyright notice is stated upstream; authors are Yiming Chen, Xianghu Yue, Chen Zhang,
  Xiaoxue Gao, Robby T. Tan, and Haizhou Li
License: Apache-2.0
Source: https://github.com/MatthewCYM/VoiceBench

Component: Direct Preference Optimization trainer logic
Path: nemo/collections/tts/models/magpietts_preference_optimization.py
Copyright: No separate copyright notice is stated upstream; authors are Rafael Rafailov, Archit Sharma,
  Eric Mitchell, Christopher D. Manning, Stefano Ermon, and Chelsea Finn
License: Apache-2.0
Source: https://github.com/eric-mitchell/direct-preference-optimization

Component: TRL GRPO trainer logic
Path: nemo/collections/tts/models/magpietts_preference_optimization.py
Copyright: Copyright 2020-2026 The HuggingFace Team
License: Apache-2.0
Source: https://github.com/huggingface/trl

Component: Cut Cross Entropy
Distribution: Installed by the compiled and compiled-a100 extras
Copyright: Copyright (C) 2024 Apple Inc. All Rights Reserved.
License: Apple sample-code license reproduced below
Source: https://github.com/apple-aiml-research/ml-cross-entropy/tree/87a86aba72cfd2f0d8abecaf81c13c4528ea07d8

Cut Cross Entropy license
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------


PyTorch

    From PyTorch:

    Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
    Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
    Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
    Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)
    Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
    Copyright (c) 2011-2013 NYU                      (Clement Farabet)
    Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
    Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
    Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)

    From Caffe2:

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    Copyright (c) 2015 Yangqing Jia
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Triton

    /*
    * Copyright 2018-2020 Philippe Tillet
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Transformers

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Public-domain material
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